101 to 125 of 141 Pandas Jobs

discussions. About you Master’s or PhD in AI, Machine Learning, Data Science, or Computer Science (Russell Group or similar). Strong Python skills (Pandas, NumPy). Experience or exposure to NLP, transformers, and LLMs. Familiarity with ML tools like Weights & Biases or MLflow is a plus. Curious, proactive ...

models that help operational teams plan more effectively Working closely with stakeholders to turn analysis into action Key technical skills Strong experience with Python, Pandas and SQL Confident with data wrangling, exploration and visualisation Experience with business intelligence tools What we're looking for Excellent interpersonal and stakeholder communication skills ...

Python , including use of NumPy and other scientific libraries. A passion for working with data/dataframes and solving data-related challenges. Strong Pandas experience is required. Minimum bachelors degree in a STEM subject at a reputable academic institution. A desire to work closely with Researchers and accelerate their research ...

clearance (mandatory) Proven experience in a data science or machine learning role Strong programming skills in Python and familiarity with key data libraries (e.g. pandas, NumPy, scikit-learn) Experience with data wrangling , feature engineering, and model optimisation Understanding of data pipelines , APIs, and production deployment workflows Excellent communication skills ...

team of talented data scientists. What You'll Bring Deep expertise in machine learning and statistical modelling Skilled with core data science tools (NumPy, Pandas, Scikit-Learn) and deep learning frameworks (PyTorch, TensorFlow) Proven track record delivering impactful AI/ML projects (e.g. forecasting, recommendation systems, or optimisation) Experienced project ...

delivery of applied machine learning projects, ideally across commercial or regulated sectors Strong Python skills and comfort using core libraries (e.g. NumPy, Pandas), plus familiarity with deep learning tooling like PyTorch Expertise in a wide range of ML methods, including supervised and unsupervised learning, time series ...

research in machine learning, computational chemistry, and bioinformatics. Required Skills & Experience Proficiency in Python and the core data science ecosystem (e.g., Pandas, NumPy, Scikit-learn). Hands on experience with a modern deep learning framework, preferably PyTorch. Strong theoretical understanding of machine learning principles, including deep learning and classical statistical ...

Background 3+ years of industry experience as a Data Scientist , plus a strong academic foundation Python Data Science Stack : Advanced proficiency in Python , including Pandas, NumPy and scikit-learn. Statistical & Machine Learning Modelling : Experience with a variety of ML techniques ( regression, classification, clustering, time-series forecasting ) Experience with deep learning ...

data analysis or data management (or strong academic equivalent). Proficiency in SQL and spreadsheets (BigQuery/Excel/Sheets). Basic Python (Pandas) or willingness to learn. Detail-oriented, structured approach to data cleaning, organisation, and version control. Familiarity with GIS tools (ArcGIS, QGIS) and geospatial data formats desirable. ...

learning concepts. Proficiency in programming languages such as Python. Experience with data visualization tools like Power BI. Familiarity with data manipulation libraries such as Pandas and NumPy. Knowledge of machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn. Excellent problem-solving skills and attention to detail. Ability to work effectively ...

master and reference data system. Requirements: 5 to 10 years of building Python-based financial software at a hedge fund, bank or vendor (Pandas required) Strong experience with ETL pipelines and distributed systems Comfortable working with quants and trading teams Nice to Have: Experience with Kafka Deep understanding of market ...

models. Optimize models for performance, scalability, and accuracy. Qualifications: Deep knowledge of neural networks (CNNs, RNNs, LSTMs, Transformers). Strong experience with data tools (Pandas, NumPy, Apache Spark). Solid understanding of NLP algorithms. Experience integrating ML models via RESTful APIs. Familiarity with CI/CD pipelines and deployment automation. ...

requirements and ensure outputs are fit for purpose. Skills & Experience Needed Strong SQL abilities and experience designing relational schemas. Hands-on Python skills (preferably pandas) for data wrangling and transformation. Solid understanding of data modelling principles and best practices. Good working knowledge of Excel and awareness of CRM/enterprise ...

requirements and ensure outputs are fit for purpose. Skills & Experience Needed Strong SQL abilities and experience designing relational schemas. Hands-on Python skills (preferably pandas) for data wrangling and transformation. Solid understanding of data modelling principles and best practices. Good working knowledge of Excel and awareness of CRM/enterprise ...

requirements and ensure outputs are fit for purpose. Skills & Experience Needed Strong SQL abilities and experience designing relational schemas. Hands-on Python skills (preferably pandas) for data wrangling and transformation. Solid understanding of data modelling principles and best practices. Good working knowledge of Excel and awareness of CRM/enterprise ...

home - Set up your home office exactly how you want it with a dedicated budget for comfort and productivity. Fuel and focus on-site - Pandas in Vienna, Bucharest, Barcelona, and Berlin can enjoy free onsite dining, with freshly prepared lunches and snacks to keep you fuelled and focused ...

Advanced Power BI skills, including DAX and data modelling. Strong understanding of relational databases, data warehousing, and tools such as Databricks. Experience with Python (Pandas/PySpark) and Git/CI/CD processes. Excellent communication skills and high attention to detail. Experience in housing, construction, or ERP/ ...

both technical and non-technical stakeholders, including coaches, scouts, analysts, and traders. Skills & Attributes Strong background in Python, with experience in data manipulation (Pandas/Polars) and statistical modelling. Industry experience in a data science role focussing on sports analytics or personal projects related to football data. Knowledge of advanced ...

Learning Engineer Machine Learning Engineer - AI for Advanced Materials - Oxford (Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform) We're looking for a Machine Learning Engineer to join a rapidly … experience in some or all of the following (full training provided to fill any gaps): Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, Pandas, NumPy, SciPy, CI/CD, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform, Azure, AWS, GCP, Git, and Agile methodologies. Join a team that's fusing ...

We are seeking a VP Data Science to lead our Data Science function within Planning Agent, our AI-powered advertising planning platform used daily by agency teams. This role will shape the future of agentic ...

urgently seeking a Senior Data Engineer. You will work with actuarial and asset management datasets, building end-to-end data pipelines in Python (Pandas, NumPy), SQL, GCP (BigQuery), DBT, and Databricks. This role focuses on large-scale financial data, automating processes, integrating multiple data sources, and delivering actionable insights … financial securities, portfolio valuations, or actuarial outputs in investment, reinsurance, or life insurance environments. Python & SQL: Build analytical pipelines and scalable data solutions using Pandas, NumPy, and SQL. Cloud/Tools: Experience with GCP (BigQuery), DBT, and Databricks. Domain Expertise: Prior delivery of projects in investment operations, reinsurance, or actuarial ...

subject matter expert for Redis Vector Similarity Search; design/develop deep learning algorithms, machine learning recommendation systems; perform data analyses/visualization (SQL, Pandas, Numpy, Scikit-Learn, MatplotLib); deploy machine learning algorithms (AWS), graph clustering algorithms (Python, C++, Rust) using programming languages; use software libraries/platforms, AWS Sagemaker … Engineering plus 1 year experience. Experience to include designing/developing deep learning algorithms, machine learning recommendation systems; performing data analyses/visualization (SQL, Pandas, Numpy, Scikit-Learn, MatplotLib); deploying machine learning algorithms (AWS), graph clustering algorithms (Python, C++, Rust) using programming languages; and using software libraries/platforms ...

Functions, classes, and object-oriented programming, List comprehensions, generators, Error handling, iii. Working with virtual environments and package management (pip, venv) Data Manipulation & Analysis (Pandas & NumPy) i. Key libraries: pandas, numpy, (optional: polars) ii. Key skills: Data cleaning and preprocessing, Handling missing values, grouping, merging, pivoting, aggregations, and SQL Software ...

Functions, classes, and object-oriented programming, List comprehensions, generators, Error handling, iii. Working with virtual environments and package management (pip, venv) Data Manipulation & Analysis (Pandas & NumPy) i. Key libraries: pandas, numpy, (optional: polars) ii. Key skills: Data cleaning and preprocessing, Handling missing values, grouping, merging, pivoting, aggregations, and SQL Software ...

Functions, classes, and object-oriented programming, List comprehensions, generators, Error handling, iii. Working with virtual environments and package management (pip, venv) Data Manipulation & Analysis (Pandas & NumPy) i. Key libraries: pandas, numpy, (optional: polars) ii. Key skills: Data cleaning and preprocessing, Handling missing values, grouping, merging, pivoting, aggregations, and SQL Software ...